Mein Workflow 6

Fortgeschritten

Dies ist ein Sales, AI-Bereich Automatisierungsworkflow mit 10 Nodes. Hauptsächlich werden If, Code, GoogleSheets, SplitInBatches, Agent und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Anreichung von Unternehmensfirmendaten in Google Sheets mit Explorium.ai und Claude AI

Voraussetzungen
  • Google Sheets API-Anmeldedaten
  • Anthropic API Key
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "meta": {
    "instanceId": "0a70652f43c1b29dd16c35b61a38fd31c8004f58bc7e723bf43262a797407c77"
  },
  "name": "My workflow 6",
  "tags": [],
  "nodes": [
    {
      "id": "326f7ab3-3c5d-4b6e-bb12-9815a9179740",
      "name": "Google Sheets Trigger",
      "type": "n8n-nodes-base.googleSheetsTrigger",
      "position": [
        580,
        165
      ],
      "parameters": {
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE/edit?usp=drivesdk",
          "cachedResultName": "n8n test"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "6181d60a-91b4-4068-80ab-e4c8fb6f7eac",
      "name": "Gültige Zeilen filtern",
      "type": "n8n-nodes-base.if",
      "position": [
        800,
        165
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 1,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "8c7d5b8a-4569-4c8f-b5e8-6c5f5e5c5e5c",
              "operator": {
                "type": "string",
                "operation": "notEmpty"
              },
              "leftValue": "={{ $json.name }}",
              "rightValue": ""
            },
            {
              "id": "9d8e6c9b-5670-5d9f-c6f9-7d6g6f6d6f6d",
              "operator": {
                "type": "string",
                "operation": "notEmpty"
              },
              "leftValue": "={{ $json.website }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "36dd234e-d726-418b-b70e-7c39afea91b4",
      "name": "Über Elemente iterieren",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1020,
        165
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "3870bad2-9551-4c1d-93bd-c42c44ce9584",
      "name": "KI-Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1272,
        40
      ],
      "parameters": {
        "text": "=You will be provided with company information including:\n\nName: {{ $json.name }}\nDomain: {{ $json.website }}\n\nYour task is to research and extract the following key business metrics for this company:\nRequired Data Points:\n- Name (keep the same as provided)\n- Website (keep the same as provided)\n- Annual revenue (as business_id first, then get the range)\n- Number of employees (range)\n- NAICS code\n\nUse the Explorium tools to:\n1. First use match-business to find the business ID\n2. Then use enrich-businesses-firmographics to get the company details\n\nReturn the data exactly in this format.",
        "options": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.6
    },
    {
      "id": "94f62314-ab95-4f2c-8f9c-c658a982815e",
      "name": "Anthropic Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        1240,
        220
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude Sonnet 4"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "zb4GaoxVQ7gIbD2A",
          "name": "Anthropic account 3"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "c5416012-86dd-4b10-8526-ce4147833572",
      "name": "Code - Ausgabe formatieren",
      "type": "n8n-nodes-base.code",
      "position": [
        1680,
        40
      ],
      "parameters": {
        "jsCode": "// Simply pass through the AI output with proper formatting\nreturn {\n  name: $json.output.name || $json.name,\n  website: $json.output.website || $json.website,\n  business_id: $json.output.business_id || '',\n  naics: $json.output.naics || '',\n  number_of_employees_range: $json.output.number_of_employees_range || '',\n  yearly_revenue_range: $json.output.yearly_revenue_range || ''\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "12f2e1b6-48c9-42f6-a4af-9574b486d270",
      "name": "Unternehmenszeile aktualisieren",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1900,
        165
      ],
      "parameters": {
        "columns": {
          "value": {},
          "schema": [
            {
              "id": "name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "website",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "website",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "business_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "business_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "naics",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "naics",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "number_of_employees_range",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "number_of_employees_range",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "yearly_revenue_range",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "yearly_revenue_range",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": [
            "name"
          ]
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE/edit?usp=drivesdk",
          "cachedResultName": "n8n test"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "af35ecca-cf6b-4d3a-ab18-61870f7601c4",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -160,
        -180
      ],
      "parameters": {
        "width": 660,
        "height": 900,
        "content": "# Enrich Company Data from Google Sheets with Explorium MCP\n\nThis workflow automatically enriches company data when new rows are added or when the name/website fields are updated in your Google Sheet.\n\n### Workflow Structure:\n\n**Google Sheets Trigger** → **Filter Valid Rows** → **Loop Over Items**\n                                                          ↓\n                                                      **AI Agent**\n                                                           ↓\n                                                   **Code - Format Output**\n                                                           ↓\n                                                   **Update Company Row**\n                                                           ↓\n                                                   (back to Loop Over Items)\n\n### How the Loop Works:\n1. Loop Over Items splits the batch (size 1)\n2. Sends one item to AI Agent\n3. AI Agent enriches the data\n4. Code formats the output\n5. Google Sheets updates the row\n6. Flow returns to Loop Over Items for next item\n7. When all items are processed, loop ends\n\n### Key Points:\n- Each row is processed individually\n- The loop continues until all rows are done\n- Failed enrichments won't stop other rows\n\n### Testing:\n1. Add multiple rows with company names and websites\n2. Trigger the workflow\n3. Watch each row get processed sequentially\n4. All rows should be updated with enriched data"
      },
      "typeVersion": 1
    },
    {
      "id": "6194c65f-0321-4ddc-8264-168bd04ef05b",
      "name": "Explorium MCP",
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "position": [
        1380,
        220
      ],
      "parameters": {
        "sseEndpoint": "https://mcp.explorium.ai/sse",
        "authentication": "bearerAuth"
      },
      "credentials": {
        "httpBearerAuth": {
          "id": "7uIoZJ2gQQuHHIDb",
          "name": "Bearer Auth MCP"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "c4f2e8b5-ac31-4f29-8f7f-cf7e641efbbb",
      "name": "Ausgabe-Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1520,
        220
      ],
      "parameters": {
        "jsonSchemaExample": "{\n    \"name\": \"Microsoft Corporation\",\n    \"website\": \"https://www.microsoft.com\",\n    \"business_id\": \"a34bacf839b923770b2c360eefa26748\",\n    \"naics\": \"511210\",\n    \"number_of_employees_range\": \"10001+\",\n    \"yearly_revenue_range\": \"100B-1T\"\n}"
      },
      "typeVersion": 1.2
    }
  ],
  "active": false,
  "pinData": {
    "Google Sheets Trigger": [
      {
        "json": {
          "name": "Amazon.com, Inc.",
          "naics": 454110,
          "website": "https://www.amazon.com",
          "row_number": 9,
          "business_id": "8f19793b2671094e63a15ab883d50137",
          "change_type": "updated",
          "yearly_revenue_range": "100B-1T",
          "number_of_employees_range": "10001+"
        }
      },
      {
        "json": {
          "name": "Toyota North America",
          "naics": 336111,
          "website": "https://careers.toyota.com/us/en",
          "row_number": 10,
          "business_id": "9185f3ec501c674c7c788464a36e7fb3",
          "change_type": "updated",
          "yearly_revenue_range": "10B-100B",
          "number_of_employees_range": "10001+"
        }
      },
      {
        "json": {
          "name": "The Coca-Cola Company",
          "naics": 312112,
          "website": "https://www.coca-colacompany.com",
          "row_number": 11,
          "business_id": "26751be1181460baf78db8d5eb7aad39",
          "change_type": "updated",
          "yearly_revenue_range": "10B-100B",
          "number_of_employees_range": "10001+"
        }
      }
    ]
  },
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "",
  "connections": {
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    },
    "6194c65f-0321-4ddc-8264-168bd04ef05b": {
      "ai_tool": [
        [
          {
            "node": "3870bad2-9551-4c1d-93bd-c42c44ce9584",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "c4f2e8b5-ac31-4f29-8f7f-cf7e641efbbb": {
      "ai_outputParser": [
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          {
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            "type": "ai_outputParser",
            "index": 0
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    "36dd234e-d726-418b-b70e-7c39afea91b4": {
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    "6181d60a-91b4-4068-80ab-e4c8fb6f7eac": {
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    "12f2e1b6-48c9-42f6-a4af-9574b486d270": {
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    "94f62314-ab95-4f2c-8f9c-c658a982815e": {
      "ai_languageModel": [
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            "type": "ai_languageModel",
            "index": 0
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    "c5416012-86dd-4b10-8526-ce4147833572": {
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    "326f7ab3-3c5d-4b6e-bb12-9815a9179740": {
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  }
}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten - Vertrieb, Künstliche Intelligenz

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

Workflow-Informationen
Schwierigkeitsgrad
Fortgeschritten
Anzahl der Nodes10
Kategorie2
Node-Typen10
Schwierigkeitsbeschreibung

Für erfahrene Benutzer, mittelkomplexe Workflows mit 6-15 Nodes

Autor
explorium

explorium

@explorium

Explorium empowers businesses to build high-performance GTM agents with specialized data infrastructure. Our seamless API integrations and high-quality data drive faster agent development and better results. With years of experience and robust data sets, we deliver context-aware solutions, helping AI agents achieve human-level support. Explorium is the essential data partner for teams building agent-driven technologies.

Externe Links
Auf n8n.io ansehen

Diesen Workflow teilen

Kategorien

Kategorien: 34